Peter Sykacek
Impact in
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Human-Computer Interaction top 10%
Papers in
-
- Gene expression and cancer classification 7
- Bioinformatics and Genomic Networks 6
- Molecular Biology Techniques and Applications 3
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- Neural Networks and Applications 5
- Gaussian Processes and Bayesian Inference 3
- Co-authors
- Stephen Roberts (8 shared papers)María Stokes (3 shared papers)David P. Kreil (6 shared papers)Krzysztof Wieczorek (1 shared paper)Dagmar Szakasits (1 shared paper)Florian Wagner (1 shared paper)Florian M. W. Grundler (1 shared paper)Holger Bohlmann (1 shared paper)
- Journals
- Bioinformatics (3 papers)IEEE Transactions on Neural Systems and Rehabilitation Engineering (2 papers)BMC Bioinformatics (2 papers)Computer applications in the biosciences (1 paper)Gerontology (1 paper)
- Partner nations
- AustriaUnited KingdomAustralia
In The Last Decade
Peter Sykacek
34 papers receiving 783 citations
Peers
Comparison fields: 5 of 109
- Cognitive Neuroscience 197
- Human-Computer Interaction 43
- Signal Processing 81
- Developmental Neuroscience 29
- Cellular and Molecular Neuroscience 115
Countries citing papers authored by Peter Sykacek
This map shows the geographic impact of Peter Sykacek's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Peter Sykacek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Sykacek more than expected).
Fields of papers citing papers by Peter Sykacek
This network shows the impact of papers produced by Peter Sykacek. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Peter Sykacek. The network helps show where Peter Sykacek may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Sykacek, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 183 | |
| 2 | 2014 | 116 | |
| 3 | 2004 | 95 | |
| 4 | 2004 | 63 | |
| 5 | 2007 | 49 | |
| 6 | 2021 | 43 | |
| 7 | 2003 | 26 | |
| 8 | 2011 | 25 | |
| 9 | 2008 | 21 | |
| 10 | Bayesian time series classification | 2001 | 20 |
| 11 | 2003 | 19 | |
| 12 | 2000 | 18 | |
| 13 | Adaptive Classification by Variational Kalman Filtering | 2002 | 17 |
| 14 | 2000 | 17 | |
| 15 | 2005 | 12 | |
| 16 | Equivalent error bars for neural network classifiers trained by Bayesian inference. | 1997 | 11 |
| 17 | On Input Selection with Reversible Jump Markov Chain Monte Carlo Sampling | 1999 | 10 |
| 18 | 2011 | 9 | |
| 19 | 2010 | 9 | |
| 20 | 2021 | 8 |
About Peter Sykacek
Peter Sykacek is a scholar working on Molecular Biology, Artificial Intelligence, Signal Processing, Cancer Research and Cognitive Neuroscience, having authored 36 papers that have together received 827 indexed citations. Recurring topics across this work include Gene expression and cancer classification (7 papers), Bioinformatics and Genomic Networks (6 papers), Neural Networks and Applications (5 papers), EEG and Brain-Computer Interfaces (3 papers), Molecular Biology Techniques and Applications (3 papers), Gaussian Processes and Bayesian Inference (3 papers), Blind Source Separation Techniques (3 papers) and Plant nutrient uptake and metabolism (2 papers). The work is most often cited by research in Cognitive Neuroscience (197 citations), Human-Computer Interaction (43 citations), Signal Processing (81 citations), Developmental Neuroscience (29 citations) and Cellular and Molecular Neuroscience (115 citations). Peter Sykacek has collaborated with scholars based in Austria, United Kingdom and Australia. Frequent co-authors include Stephen Roberts, María Stokes, David P. Kreil, Krzysztof Wieczorek, Dagmar Szakasits, Florian Wagner, Florian M. W. Grundler, Holger Bohlmann, Julia Hofmann and Eleanor Curran. Their work appears in journals such as Bioinformatics, IEEE Transactions on Neural Systems and Rehabilitation Engineering, BMC Bioinformatics, Computer applications in the biosciences and Gerontology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.